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Identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma
BACKGROUND: Lung squamous cell carcinoma (LUSC), one of the main types of lung cancer, has caused a huge social burden. There has been no significant progress in its therapy in recent years, Resulting in a poor prognosis. This study aims to develop a glycolysis‐related gene signature to predict pati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209576/ https://www.ncbi.nlm.nih.gov/pubmed/33991070 http://dx.doi.org/10.1002/cam4.3945 |
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author | Xu, Ziming Zhang, Shiwei Nian, Fulai Xu, Shangyu |
author_facet | Xu, Ziming Zhang, Shiwei Nian, Fulai Xu, Shangyu |
author_sort | Xu, Ziming |
collection | PubMed |
description | BACKGROUND: Lung squamous cell carcinoma (LUSC), one of the main types of lung cancer, has caused a huge social burden. There has been no significant progress in its therapy in recent years, Resulting in a poor prognosis. This study aims to develop a glycolysis‐related gene signature to predict patients’ survival with LUSC and explore new therapeutic targets. METHODS: We obtained the mRNA expression and clinical information of 550 patients with LUSC from the Cancer Genome Atlas (TCGA) database. Glycolysis genes were identified by Gene Set Enrichment Analysis (GSEA). The glycolysis‐related gene signature was established using the Cox regression analysis. RESULTS: We developed five glycolysis‐related genes signature (HKDC1, AGL, ALDH7A1, SLC16A3, and MIOX) to calculate each patient's risk score. According to the risk score, patients were divided into high‐ and low‐risk groups and exhibited significant differences in overall survival (OS) between the two groups. The ROC curves showed that the AUC was 0.707 for the training cohort and 0.651 for the validation cohort. Additionally, the risk score was confirmed as an independent risk factor for LUSC patients by Cox regression analysis. CONCLUSION: We built a gene signature to clarify the connection between glycolysis and LUSC. This model performs well in evaluating patients’ survival with LUSC and provides new biomarkers for targeted therapy. |
format | Online Article Text |
id | pubmed-8209576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82095762021-06-25 Identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma Xu, Ziming Zhang, Shiwei Nian, Fulai Xu, Shangyu Cancer Med Cancer Biology BACKGROUND: Lung squamous cell carcinoma (LUSC), one of the main types of lung cancer, has caused a huge social burden. There has been no significant progress in its therapy in recent years, Resulting in a poor prognosis. This study aims to develop a glycolysis‐related gene signature to predict patients’ survival with LUSC and explore new therapeutic targets. METHODS: We obtained the mRNA expression and clinical information of 550 patients with LUSC from the Cancer Genome Atlas (TCGA) database. Glycolysis genes were identified by Gene Set Enrichment Analysis (GSEA). The glycolysis‐related gene signature was established using the Cox regression analysis. RESULTS: We developed five glycolysis‐related genes signature (HKDC1, AGL, ALDH7A1, SLC16A3, and MIOX) to calculate each patient's risk score. According to the risk score, patients were divided into high‐ and low‐risk groups and exhibited significant differences in overall survival (OS) between the two groups. The ROC curves showed that the AUC was 0.707 for the training cohort and 0.651 for the validation cohort. Additionally, the risk score was confirmed as an independent risk factor for LUSC patients by Cox regression analysis. CONCLUSION: We built a gene signature to clarify the connection between glycolysis and LUSC. This model performs well in evaluating patients’ survival with LUSC and provides new biomarkers for targeted therapy. John Wiley and Sons Inc. 2021-05-15 /pmc/articles/PMC8209576/ /pubmed/33991070 http://dx.doi.org/10.1002/cam4.3945 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cancer Biology Xu, Ziming Zhang, Shiwei Nian, Fulai Xu, Shangyu Identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma |
title | Identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma |
title_full | Identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma |
title_fullStr | Identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma |
title_full_unstemmed | Identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma |
title_short | Identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma |
title_sort | identification of a glycolysis‐related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma |
topic | Cancer Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209576/ https://www.ncbi.nlm.nih.gov/pubmed/33991070 http://dx.doi.org/10.1002/cam4.3945 |
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